Please use google looker studio This assignment asks you to find many datapoints from Analytics reports. Unless specifiedotherwise, find the statistic for December of last year. (If it is currently December 2024, useDecember 1, 2023 to December 31, 2023.) PART 4: MONETIZATION1. DATAAverage purchase revenue per user:QUESTIONIs this the same as revenue per session? Explain.2. DATATotal ad revenue:QUESTIONWhy is ad revenue so low?3. DATAMost-purchased item:Purchase volume of most-purchased item:Percentage of sessions that add an item to cart:Percentage of add-to-carts that do not begin checkout:QUESTION #1What change to the web design could the Google Merchandise Store make todecrease the abandonment rate of add-to-carts?QUESTION #2On which step of the checkout journey is the largest abandonment rate?QUESTION #3Do you believe this is a reasonable abandonment rate for this step, or do you thinkthe purchase process is flawed? Justify your answer.

Detailed explanation:1. Average Purchase Revenue per UserDefinition:Average Purchase Revenue per…

Answered: This assignment asks you to find many…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section13.6: Moving Averages Models

Problem 20P: The file P13_20.xlsx contains the monthly sales of iPod cases at an electronics store for a two-year...

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The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?
The file P13_20.xlsx contains the monthly sales of iPod cases at an electronics store for a two-year period. Use the moving averages method, with spans of your choice, to forecast sales for the next six months. Does this method appear to track sales well? If not, what might be the reason?
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The manager wants to forecast the month 6's sales using the following historical data: Months Month 1 Month 2 Month 3 Month 4 Month 5 Sales 20 25 32 35 38 Please use the weight 0.45 for Month 5, weight 0.25 for Month 4, weight 0.2 for Month 3, and weight 0.1 for Month 2 to use the weighted moving average to forecast the demand of Month 6. Month 5 = 0.1*(25) +0.2*(32) + .25* (35) divided by 0.1 +0.2 +1.25 -17.65/0.55 = 32.09 Month 6= 0.1* (25) +0.2* (32) +0.25 (35) +0.45* (38) divided by 0.1 +0.2+0.45 = 34.75
To better plan for future growth of the restaurant, Karen needs to develop a system that will enable her to forecast food and beverage sales by month for up to one year in advance. Table shows the value of food and beverage sales ($1000s) for the first three years of operation. Food and Beverage Sales for the Vintage Restaurant ($1000s) Month First Year Second Year Third Year January 242 263 282 February 235 238 255 March 232 247 265 April 178 193 205 May 184 193 210 June 140 149 160 July 145 157 166 August 152 161 174 September 110 122 126 October 130 130 148 November 152 167 173 December 206 230 235 Managerial Report Perform an analysis of the sales data for the Vintage Restaurant. Prepare a report for Karen that summarizes your findings, forecasts, and recommendations. Include the following: A time series plot. Comment on the underlying pattern in the time series.…
. Suppose that you are working as an analyst. Your task is to value company XYZ based on financial data available for this company. Discuss how you would go about doing this using themultiple growth rate Gordon growth model. Critically evaluate your approach by discussing any assumptions you make (about forecasts, discount rate etc.). What data is needed to value XYZ?
A company that supplies gasoline to a city has recorded the weeklyusage (tons/week) for the past 3 years. The file BA3653GasolineRecord.xlsxcontains this record.(a) Propose a method for predicting the demand for gasoline. Use thatmethod to forecast demand for next year (weeks 157 to 208).(b) Improve your prediction in part (a) by including a statement about demand variability. (Hint: Look at or the range of the data.) week demand (tons) 1 1174.5 2 1316.2 3 1197 4 1127.3 5 1193.1 6 1260.7 7 1378.2 8 1273.7 9 1366.4 10 1113 11 1177.7 12 1056 13 1291.2 14 1269.1 15 1289.6 16 1181 17 1249 18 1212 19 1286.2 20 1204.8 21 1266.2 22 1332.4 23 1236.3 24 1266.1 25 1415.3 26 1100.1 27 1208.1 28 1505.1 29 1282.7 30 1190.5 31 1152.8 32 1089.7 33 1404.7 34 1308.6 35 1255.4 36 1106.7 37 1484.6 38 1317.4 39 1294.7 40 1154 41 1449.9 42 1174.9 43 1466.9 44 1282.4 45 1228 46 1174 47 1196.2 48 1443.8 49…
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The quarterly demand for smartphones at a retailer is as show. Year Quarter Demand 1 I 513 1 II 932 1 III 1509 1 IV 1902 2 I 693 2 II 1163 2 III 1857 2 IV 2469 Forecast the quarter 1 demand for year 3 using the following models: 4-quarter simple moving average. Simple exponential smoothing with α = 0.1. We assume that the forecasted value of quarter 1 is 500. Which method is the most accurate and why?
This type of analysis is most appropriate when the past is a good predictor of the future.
A business conducted a linear regression to estimate its demand function and obtain the following demand function Q = 200 - 1.5P + 0.55A - 2.8Py + 0.05Inc, where P is price and A is advertising. When P = $21. A = $30 and Quantity = 160, find the profit-maximizing advertising-to-sales ratio (hint: first find the price and advertising elasticities). Type as either a decimal out two spaces, like 0.10 OR as a percentage like 10%. %3! %3! Question 17 During recessions, people's reservation price (aka reserve price) searching. which results in O drops; less O rises; more drops; more O rises; less

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